我国南部沿海地区受台风“山竹”影响的损失估计图集（2018）

本数据集的原始数据来源（1）中国气象局和日本气象厅发布的台风山竹最佳路径数据（2018年9月7日11时至2018年9月17日20时）。（2）全球卫星降雨地图集（Global Satellite Mapping of Precipitation (GSMaP) ）发布的陆地小时降雨格点数据（2018年9月7日11时至2018年9月17日20时）。（3）台风山竹造成的直接损失数据。数据加工方法为：对原始数据进行提取和处理，形成输入文件输入到复杂网络-二分网络模型中，通过模型生成二分网络结构图。再根据模型计算结果，在Arc-GIS软件中绘制损失评估图集。数据质量良好，相关成果已发表在SCI期刊。（Niu, Yilong, et al. "Network Modeling and Dynamic Mechanisms of Multi-Hazards-A Case Study of Typhoon Mangkhut." Water 12. 8 (2020): 2198. doi: 10.3390/w12082198）。

The original data sources of this dataset are listed below:
(1) Best-track typhoon data of Typhoon Mangkhut released by the China Meteorological Administration and the Japan Meteorological Agency, covering the period from 11:00 on September 7, 2018 to 20:00 on September 17, 2018.
(2) Hourly land precipitation grid data released by the Global Satellite Mapping of Precipitation (GSMaP), covering the period from 11:00 on September 7, 2018 to 20:00 on September 17, 2018.
(3) Direct economic loss data caused by Typhoon Mangkhut.

The data processing workflow is as follows: The original data are extracted and processed to form input files, which are then fed into the complex network-bipartite network model to generate the bipartite network structure diagram. Subsequently, based on the model's calculation results, the loss assessment atlas is drawn using ArcGIS software.

This dataset has good data quality, and the relevant research results have been published in an SCI journal: Niu, Yilong, et al. "Network Modeling and Dynamic Mechanisms of Multi-Hazards-A Case Study of Typhoon Mangkhut." Water 12.8 (2020): 2198. doi: 10.3390/w12082198.

搜集汇总

背景与挑战

背景概述

该数据集是2018年台风“山竹”对我国南部沿海地区影响的损失估计图集，基于台风路径、小时降雨和直接损失数据，通过复杂网络-二分网络模型和ArcGIS软件生成损失评估图，数据质量良好且已发表SCI论文。数据集时间分辨率为小时，数据大小为11.09 MB，共享方式为开放获取，适用于台风灾害研究和损失评估。